Overview

Dataset statistics

Number of variables12
Number of observations5829
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory552.3 KiB
Average record size in memory97.0 B

Variable types

Numeric1
Categorical3
Text6
DateTime2

Dataset

Description전주시 내의 옥외광고 현황으로 인허가번호, 허가신고일, 연장신고일, 광고물 종류, 업소명, 표시시작일, 표시종료일, 표시장소 등 관련 항목들을 제공합니다.
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15126871/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
인허가번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 21:11:55.421437
Analysis finished2024-03-14 21:11:58.724901
Duration3.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct5829
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2915
Minimum1
Maximum5829
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size51.4 KiB
2024-03-15T06:11:58.912880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile292.4
Q11458
median2915
Q34372
95-th percentile5537.6
Maximum5829
Range5828
Interquartile range (IQR)2914

Descriptive statistics

Standard deviation1682.8317
Coefficient of variation (CV)0.57730075
Kurtosis-1.2
Mean2915
Median Absolute Deviation (MAD)1457
Skewness0
Sum16991535
Variance2831922.5
MonotonicityStrictly increasing
2024-03-15T06:11:59.182617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3895 1
 
< 0.1%
3893 1
 
< 0.1%
3892 1
 
< 0.1%
3891 1
 
< 0.1%
3890 1
 
< 0.1%
3889 1
 
< 0.1%
3888 1
 
< 0.1%
3887 1
 
< 0.1%
3886 1
 
< 0.1%
Other values (5819) 5819
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5829 1
< 0.1%
5828 1
< 0.1%
5827 1
< 0.1%
5826 1
< 0.1%
5825 1
< 0.1%
5824 1
< 0.1%
5823 1
< 0.1%
5822 1
< 0.1%
5821 1
< 0.1%
5820 1
< 0.1%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
허가
4401 
신고
1428 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row허가
2nd row신고
3rd row허가
4th row허가
5th row허가

Common Values

ValueCountFrequency (%)
허가 4401
75.5%
신고 1428
 
24.5%

Length

2024-03-15T06:11:59.419063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:11:59.704195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 4401
75.5%
신고 1428
 
24.5%

인허가번호
Text

UNIQUE 

Distinct5829
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:00.526864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters134067
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5829 ?
Unique (%)100.0%

Sample

1st row2024-4651009-09-1-00010
2nd row2024-4651009-09-2-00021
3rd row2012-4650077-09-1-00041
4th row2017-4650060-09-1-00212
5th row1997-4660010-09-1-10051
ValueCountFrequency (%)
2024-4651009-09-1-00010 1
 
< 0.1%
2021-4660055-09-2-00198 1
 
< 0.1%
2021-4660055-09-2-00199 1
 
< 0.1%
2008-4650077-09-1-00475 1
 
< 0.1%
2012-4650077-09-1-00520 1
 
< 0.1%
1997-4650010-09-1-00437 1
 
< 0.1%
1997-4650010-09-1-00438 1
 
< 0.1%
1997-4650010-09-1-00450 1
 
< 0.1%
2021-4650060-09-2-00220 1
 
< 0.1%
2002-4650055-09-1-01305 1
 
< 0.1%
Other values (5819) 5819
99.8%
2024-03-15T06:12:01.774828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41146
30.7%
- 23316
17.4%
6 13197
 
9.8%
2 12541
 
9.4%
1 10485
 
7.8%
9 8798
 
6.6%
4 8054
 
6.0%
5 7958
 
5.9%
7 3939
 
2.9%
3 2485
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110751
82.6%
Dash Punctuation 23316
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41146
37.2%
6 13197
 
11.9%
2 12541
 
11.3%
1 10485
 
9.5%
9 8798
 
7.9%
4 8054
 
7.3%
5 7958
 
7.2%
7 3939
 
3.6%
3 2485
 
2.2%
8 2148
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 23316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41146
30.7%
- 23316
17.4%
6 13197
 
9.8%
2 12541
 
9.4%
1 10485
 
7.8%
9 8798
 
6.6%
4 8054
 
6.0%
5 7958
 
5.9%
7 3939
 
2.9%
3 2485
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41146
30.7%
- 23316
17.4%
6 13197
 
9.8%
2 12541
 
9.4%
1 10485
 
7.8%
9 8798
 
6.6%
4 8054
 
6.0%
5 7958
 
5.9%
7 3939
 
2.9%
3 2485
 
1.9%

허가신고일
Date

Distinct2501
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
Minimum1900-01-01 00:00:00
Maximum2024-02-22 00:00:00
2024-03-15T06:12:02.204276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:12:02.642827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

광고물종류
Categorical

Distinct10
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
벽면이용간판(가로형)
2556 
돌출간판
2273 
지주이용 간판
541 
옥상간판
 
185
교통수단이용 광고물
 
151
Other values (5)
 
123

Length

Max length11
Median length10
Mean length7.6037056
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row돌출간판
2nd row벽면이용간판(가로형)
3rd row돌출간판
4th row돌출간판
5th row돌출간판

Common Values

ValueCountFrequency (%)
벽면이용간판(가로형) 2556
43.8%
돌출간판 2273
39.0%
지주이용 간판 541
 
9.3%
옥상간판 185
 
3.2%
교통수단이용 광고물 151
 
2.6%
가로형간판_입체형 62
 
1.1%
현수막게시틀 29
 
0.5%
벽면이용간판(세로형) 28
 
0.5%
공공시설물이용 광고물 3
 
0.1%
공연간판 1
 
< 0.1%

Length

2024-03-15T06:12:03.094247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:12:03.454117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
벽면이용간판(가로형 2556
39.2%
돌출간판 2273
34.8%
지주이용 541
 
8.3%
간판 541
 
8.3%
옥상간판 185
 
2.8%
광고물 154
 
2.4%
교통수단이용 151
 
2.3%
가로형간판_입체형 62
 
1.0%
현수막게시틀 29
 
0.4%
벽면이용간판(세로형 28
 
0.4%
Other values (2) 4
 
0.1%

업소명
Text

Distinct4258
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:04.487065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length7.9181678
Min length1

Characters and Unicode

Total characters46155
Distinct characters852
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2995 ?
Unique (%)51.4%

Sample

1st row에듀플렉스 에듀코치개별지도 서신학원
2nd row에듀플렉스 에듀코치개별지도 서신학원
3rd rowe-행복한치과
4th row강변영수학원
5th row대륙다방
ValueCountFrequency (%)
gs25 83
 
1.1%
세븐일레븐 53
 
0.7%
강남뷰티업 48
 
0.7%
성형외과의원 48
 
0.7%
씨유 38
 
0.5%
gs칼텍스(주 30
 
0.4%
이마트24 26
 
0.4%
송천점 25
 
0.3%
미니스톱 24
 
0.3%
전주 19
 
0.3%
Other values (4607) 6919
94.6%
2024-03-15T06:12:05.773983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1674
 
3.6%
1488
 
3.2%
전 1372
 
3.0%
점 1346
 
2.9%
원 1082
 
2.3%
) 638
 
1.4%
( 628
 
1.4%
스 626
 
1.4%
이 608
 
1.3%
사 607
 
1.3%
Other values (842) 36086
78.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40585
87.9%
Space Separator 1488
 
3.2%
Uppercase Letter 1465
 
3.2%
Decimal Number 931
 
2.0%
Close Punctuation 638
 
1.4%
Open Punctuation 628
 
1.4%
Lowercase Letter 285
 
0.6%
Other Punctuation 69
 
0.1%
Dash Punctuation 61
 
0.1%
Math Symbol 3
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1674
 
4.1%
전 1372
 
3.4%
점 1346
 
3.3%
원 1082
 
2.7%
스 626
 
1.5%
이 608
 
1.5%
사 607
 
1.5%
유 586
 
1.4%
과 554
 
1.4%
의 533
 
1.3%
Other values (769) 31597
77.9%
Uppercase Letter
ValueCountFrequency (%)
S 390
26.6%
G 326
22.3%
K 107
 
7.3%
C 105
 
7.2%
P 55
 
3.8%
L 50
 
3.4%
T 45
 
3.1%
B 43
 
2.9%
I 36
 
2.5%
O 34
 
2.3%
Other values (15) 274
18.7%
Lowercase Letter
ValueCountFrequency (%)
s 38
13.3%
n 25
 
8.8%
e 25
 
8.8%
o 24
 
8.4%
a 24
 
8.4%
k 19
 
6.7%
g 18
 
6.3%
i 13
 
4.6%
t 13
 
4.6%
c 12
 
4.2%
Other values (14) 74
26.0%
Decimal Number
ValueCountFrequency (%)
2 345
37.1%
5 252
27.1%
4 88
 
9.5%
0 68
 
7.3%
1 55
 
5.9%
3 40
 
4.3%
7 33
 
3.5%
8 28
 
3.0%
6 12
 
1.3%
9 10
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 30
43.5%
& 29
42.0%
? 5
 
7.2%
# 2
 
2.9%
/ 1
 
1.4%
! 1
 
1.4%
; 1
 
1.4%
Space Separator
ValueCountFrequency (%)
1488
100.0%
Close Punctuation
ValueCountFrequency (%)
) 638
100.0%
Open Punctuation
ValueCountFrequency (%)
( 628
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40584
87.9%
Common 3820
 
8.3%
Latin 1750
 
3.8%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1674
 
4.1%
전 1372
 
3.4%
점 1346
 
3.3%
원 1082
 
2.7%
스 626
 
1.5%
이 608
 
1.5%
사 607
 
1.5%
유 586
 
1.4%
과 554
 
1.4%
의 533
 
1.3%
Other values (768) 31596
77.9%
Latin
ValueCountFrequency (%)
S 390
22.3%
G 326
18.6%
K 107
 
6.1%
C 105
 
6.0%
P 55
 
3.1%
L 50
 
2.9%
T 45
 
2.6%
B 43
 
2.5%
s 38
 
2.2%
I 36
 
2.1%
Other values (39) 555
31.7%
Common
ValueCountFrequency (%)
1488
39.0%
) 638
16.7%
( 628
16.4%
2 345
 
9.0%
5 252
 
6.6%
4 88
 
2.3%
0 68
 
1.8%
- 61
 
1.6%
1 55
 
1.4%
3 40
 
1.0%
Other values (14) 157
 
4.1%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40584
87.9%
ASCII 5570
 
12.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1674
 
4.1%
전 1372
 
3.4%
점 1346
 
3.3%
원 1082
 
2.7%
스 626
 
1.5%
이 608
 
1.5%
사 607
 
1.5%
유 586
 
1.4%
과 554
 
1.4%
의 533
 
1.3%
Other values (768) 31596
77.9%
ASCII
ValueCountFrequency (%)
1488
26.7%
) 638
11.5%
( 628
11.3%
S 390
 
7.0%
2 345
 
6.2%
G 326
 
5.9%
5 252
 
4.5%
K 107
 
1.9%
C 105
 
1.9%
4 88
 
1.6%
Other values (63) 1203
21.6%
CJK
ValueCountFrequency (%)
美 1
100.0%

표시시작일자
Date

Distinct1399
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
Minimum1998-11-05 00:00:00
Maximum2108-04-05 00:00:00
2024-03-15T06:12:06.015600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:12:06.659345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

표시종료일자
Text

Distinct1000
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:07.797415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters58290
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)3.5%

Sample

1st row2027-02-20
2nd row2027-02-20
3rd row2027-03-08
4th row2026-12-17
5th row2027-03-18
ValueCountFrequency (%)
9999-12-31 892
 
15.3%
2025-04-15 52
 
0.9%
2024-08-11 51
 
0.9%
2025-04-29 42
 
0.7%
2024-03-24 30
 
0.5%
2024-01-19 28
 
0.5%
2025-05-14 28
 
0.5%
2025-04-24 27
 
0.5%
2025-05-02 27
 
0.5%
2025-04-28 26
 
0.4%
Other values (990) 4626
79.4%
2024-03-15T06:12:09.264165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 13557
23.3%
- 11658
20.0%
0 10796
18.5%
1 6227
10.7%
9 4426
 
7.6%
5 3065
 
5.3%
4 2407
 
4.1%
6 2255
 
3.9%
3 2049
 
3.5%
7 1009
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 46632
80.0%
Dash Punctuation 11658
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 13557
29.1%
0 10796
23.2%
1 6227
13.4%
9 4426
 
9.5%
5 3065
 
6.6%
4 2407
 
5.2%
6 2255
 
4.8%
3 2049
 
4.4%
7 1009
 
2.2%
8 841
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 11658
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 13557
23.3%
- 11658
20.0%
0 10796
18.5%
1 6227
10.7%
9 4426
 
7.6%
5 3065
 
5.3%
4 2407
 
4.1%
6 2255
 
3.9%
3 2049
 
3.5%
7 1009
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 13557
23.3%
- 11658
20.0%
0 10796
18.5%
1 6227
10.7%
9 4426
 
7.6%
5 3065
 
5.3%
4 2407
 
4.1%
6 2255
 
3.9%
3 2049
 
3.5%
7 1009
 
1.7%

표시장소(지번)
Text

Distinct3366
Distinct (%)57.7%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:10.765085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length29.077029
Min length21

Characters and Unicode

Total characters169490
Distinct characters389
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2079 ?
Unique (%)35.7%

Sample

1st row전북특별자치도 전주시 완산구 서신동 964-5
2nd row전북특별자치도 전주시 완산구 서신동 964-5
3rd row전북특별자치도 전주시 완산구 효자동1가 281-3
4th row전북특별자치도 전주시 완산구 효자동1가 669-1 신전주새마을금고
5th row전북특별자치도 전주시 완산구 서노송동 635-3
ValueCountFrequency (%)
전북특별자치도 5829
19.7%
전주시 5822
19.7%
덕진구 3182
 
10.8%
완산구 2640
 
8.9%
인후동1가 480
 
1.6%
중화산동2가 448
 
1.5%
서신동 402
 
1.4%
금암동 352
 
1.2%
효자동1가 311
 
1.1%
송천동2가 282
 
1.0%
Other values (3508) 9799
33.2%
2024-03-15T06:12:12.526408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35185
20.8%
전 11796
 
7.0%
자 6526
 
3.9%
1 6356
 
3.8%
북 6101
 
3.6%
주 5962
 
3.5%
동 5932
 
3.5%
시 5859
 
3.5%
도 5857
 
3.5%
치 5842
 
3.4%
Other values (379) 74074
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102553
60.5%
Space Separator 35185
 
20.8%
Decimal Number 26901
 
15.9%
Dash Punctuation 4654
 
2.7%
Uppercase Letter 144
 
0.1%
Other Punctuation 22
 
< 0.1%
Open Punctuation 15
 
< 0.1%
Close Punctuation 15
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 11796
 
11.5%
자 6526
 
6.4%
북 6101
 
5.9%
주 5962
 
5.8%
동 5932
 
5.8%
시 5859
 
5.7%
도 5857
 
5.7%
치 5842
 
5.7%
구 5833
 
5.7%
별 5831
 
5.7%
Other values (339) 37014
36.1%
Uppercase Letter
ValueCountFrequency (%)
G 27
18.8%
S 18
12.5%
L 16
11.1%
P 15
10.4%
K 9
 
6.2%
B 9
 
6.2%
C 8
 
5.6%
A 6
 
4.2%
T 6
 
4.2%
D 5
 
3.5%
Other values (12) 25
17.4%
Decimal Number
ValueCountFrequency (%)
1 6356
23.6%
2 4221
15.7%
3 2766
10.3%
5 2262
 
8.4%
6 2201
 
8.2%
4 2183
 
8.1%
7 2077
 
7.7%
8 1788
 
6.6%
9 1583
 
5.9%
0 1464
 
5.4%
Other Punctuation
ValueCountFrequency (%)
@ 11
50.0%
/ 10
45.5%
& 1
 
4.5%
Space Separator
ValueCountFrequency (%)
35185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4654
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102553
60.5%
Common 66792
39.4%
Latin 145
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 11796
 
11.5%
자 6526
 
6.4%
북 6101
 
5.9%
주 5962
 
5.8%
동 5932
 
5.8%
시 5859
 
5.7%
도 5857
 
5.7%
치 5842
 
5.7%
구 5833
 
5.7%
별 5831
 
5.7%
Other values (339) 37014
36.1%
Latin
ValueCountFrequency (%)
G 27
18.6%
S 18
12.4%
L 16
11.0%
P 15
10.3%
K 9
 
6.2%
B 9
 
6.2%
C 8
 
5.5%
A 6
 
4.1%
T 6
 
4.1%
D 5
 
3.4%
Other values (13) 26
17.9%
Common
ValueCountFrequency (%)
35185
52.7%
1 6356
 
9.5%
- 4654
 
7.0%
2 4221
 
6.3%
3 2766
 
4.1%
5 2262
 
3.4%
6 2201
 
3.3%
4 2183
 
3.3%
7 2077
 
3.1%
8 1788
 
2.7%
Other values (7) 3099
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102553
60.5%
ASCII 66937
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35185
52.6%
1 6356
 
9.5%
- 4654
 
7.0%
2 4221
 
6.3%
3 2766
 
4.1%
5 2262
 
3.4%
6 2201
 
3.3%
4 2183
 
3.3%
7 2077
 
3.1%
8 1788
 
2.7%
Other values (30) 3244
 
4.8%
Hangul
ValueCountFrequency (%)
전 11796
 
11.5%
자 6526
 
6.4%
북 6101
 
5.9%
주 5962
 
5.8%
동 5932
 
5.8%
시 5859
 
5.7%
도 5857
 
5.7%
치 5842
 
5.7%
구 5833
 
5.7%
별 5831
 
5.7%
Other values (339) 37014
36.1%

표시장소(도로명)
Text

Distinct3840
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:14.175122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length33.247041
Min length24

Characters and Unicode

Total characters193797
Distinct characters512
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2470 ?
Unique (%)42.4%

Sample

1st row전북특별자치도 전주시 완산구 서신로 106 3층 (서신동)
2nd row전북특별자치도 전주시 완산구 서신로 106 3층 (서신동)
3rd row전북특별자치도 전주시 완산구 용머리로 72 (효자동1가)
4th row전북특별자치도 전주시 완산구 용리로 39 신전주새마을금고 (효자동1가)
5th row전북특별자치도 전주시 완산구 팔달로 236 (서노송동)
ValueCountFrequency (%)
전북특별자치도 5829
 
16.1%
전주시 5822
 
16.0%
덕진구 3183
 
8.8%
완산구 2639
 
7.3%
인후동1가 452
 
1.2%
중화산동2가 376
 
1.0%
서신동 373
 
1.0%
금암동 326
 
0.9%
백제대로 312
 
0.9%
효자동1가 266
 
0.7%
Other values (2994) 16729
46.1%
2024-03-15T06:12:16.268810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32178
 
16.6%
전 12112
 
6.2%
자 6636
 
3.4%
동 6273
 
3.2%
북 6184
 
3.2%
주 6160
 
3.2%
구 5916
 
3.1%
시 5907
 
3.0%
도 5897
 
3.0%
치 5851
 
3.0%
Other values (502) 100683
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127263
65.7%
Space Separator 32178
 
16.6%
Decimal Number 21507
 
11.1%
Close Punctuation 5839
 
3.0%
Open Punctuation 5839
 
3.0%
Dash Punctuation 875
 
0.5%
Uppercase Letter 241
 
0.1%
Lowercase Letter 33
 
< 0.1%
Other Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 12112
 
9.5%
자 6636
 
5.2%
동 6273
 
4.9%
북 6184
 
4.9%
주 6160
 
4.8%
구 5916
 
4.6%
시 5907
 
4.6%
도 5897
 
4.6%
치 5851
 
4.6%
별 5833
 
4.6%
Other values (450) 60494
47.5%
Uppercase Letter
ValueCountFrequency (%)
G 41
17.0%
S 41
17.0%
K 21
8.7%
L 20
8.3%
C 18
 
7.5%
P 17
 
7.1%
B 13
 
5.4%
I 10
 
4.1%
M 9
 
3.7%
E 6
 
2.5%
Other values (13) 45
18.7%
Lowercase Letter
ValueCountFrequency (%)
i 6
18.2%
a 4
12.1%
l 4
12.1%
o 4
12.1%
n 4
12.1%
u 2
 
6.1%
k 2
 
6.1%
b 2
 
6.1%
y 2
 
6.1%
d 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
1 5740
26.7%
2 4257
19.8%
3 2399
11.2%
4 1698
 
7.9%
5 1488
 
6.9%
6 1429
 
6.6%
0 1239
 
5.8%
7 1209
 
5.6%
8 1106
 
5.1%
9 942
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 16
72.7%
/ 4
 
18.2%
& 1
 
4.5%
@ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
32178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5839
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5839
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 875
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127262
65.7%
Common 66260
34.2%
Latin 274
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 12112
 
9.5%
자 6636
 
5.2%
동 6273
 
4.9%
북 6184
 
4.9%
주 6160
 
4.8%
구 5916
 
4.6%
시 5907
 
4.6%
도 5897
 
4.6%
치 5851
 
4.6%
별 5833
 
4.6%
Other values (449) 60493
47.5%
Latin
ValueCountFrequency (%)
G 41
15.0%
S 41
15.0%
K 21
 
7.7%
L 20
 
7.3%
C 18
 
6.6%
P 17
 
6.2%
B 13
 
4.7%
I 10
 
3.6%
M 9
 
3.3%
E 6
 
2.2%
Other values (24) 78
28.5%
Common
ValueCountFrequency (%)
32178
48.6%
) 5839
 
8.8%
( 5839
 
8.8%
1 5740
 
8.7%
2 4257
 
6.4%
3 2399
 
3.6%
4 1698
 
2.6%
5 1488
 
2.2%
6 1429
 
2.2%
0 1239
 
1.9%
Other values (8) 4154
 
6.3%
Han
ValueCountFrequency (%)
火 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127262
65.7%
ASCII 66534
34.3%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32178
48.4%
) 5839
 
8.8%
( 5839
 
8.8%
1 5740
 
8.6%
2 4257
 
6.4%
3 2399
 
3.6%
4 1698
 
2.6%
5 1488
 
2.2%
6 1429
 
2.1%
0 1239
 
1.9%
Other values (42) 4428
 
6.7%
Hangul
ValueCountFrequency (%)
전 12112
 
9.5%
자 6636
 
5.2%
동 6273
 
4.9%
북 6184
 
4.9%
주 6160
 
4.8%
구 5916
 
4.6%
시 5907
 
4.6%
도 5897
 
4.6%
치 5851
 
4.6%
별 5833
 
4.6%
Other values (449) 60493
47.5%
CJK
ValueCountFrequency (%)
火 1
100.0%

표시법정동
Text

Distinct80
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-03-15T06:12:17.428842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.5184423
Min length2

Characters and Unicode

Total characters26338
Distinct characters65
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)0.1%

Sample

1st row서신동
2nd row서신동
3rd row효자동1가
4th row효자동1가
5th row서노송동
ValueCountFrequency (%)
인후동1가 480
 
8.2%
중화산동2가 448
 
7.7%
서신동 402
 
6.9%
금암동 352
 
6.0%
효자동1가 311
 
5.3%
송천동2가 282
 
4.8%
송천동1가 279
 
4.8%
삼천동1가 274
 
4.7%
진북동 244
 
4.2%
덕진동1가 218
 
3.7%
Other values (70) 2539
43.6%
2024-03-15T06:12:18.974290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 5840
22.2%
가 4164
15.8%
1 2082
 
7.9%
2 1556
 
5.9%
천 868
 
3.3%
화 821
 
3.1%
송 672
 
2.6%
효 627
 
2.4%
자 627
 
2.4%
인 593
 
2.3%
Other values (55) 8488
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22191
84.3%
Decimal Number 4147
 
15.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5840
26.3%
가 4164
18.8%
천 868
 
3.9%
화 821
 
3.7%
송 672
 
3.0%
효 627
 
2.8%
자 627
 
2.8%
인 593
 
2.7%
서 588
 
2.6%
후 583
 
2.6%
Other values (51) 6808
30.7%
Decimal Number
ValueCountFrequency (%)
1 2082
50.2%
2 1556
37.5%
3 479
 
11.6%
4 30
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22191
84.3%
Common 4147
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5840
26.3%
가 4164
18.8%
천 868
 
3.9%
화 821
 
3.7%
송 672
 
3.0%
효 627
 
2.8%
자 627
 
2.8%
인 593
 
2.7%
서 588
 
2.6%
후 583
 
2.6%
Other values (51) 6808
30.7%
Common
ValueCountFrequency (%)
1 2082
50.2%
2 1556
37.5%
3 479
 
11.6%
4 30
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22191
84.3%
ASCII 4147
 
15.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 5840
26.3%
가 4164
18.8%
천 868
 
3.9%
화 821
 
3.7%
송 672
 
3.0%
효 627
 
2.8%
자 627
 
2.8%
인 593
 
2.7%
서 588
 
2.6%
후 583
 
2.6%
Other values (51) 6808
30.7%
ASCII
ValueCountFrequency (%)
1 2082
50.2%
2 1556
37.5%
3 479
 
11.6%
4 30
 
0.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size45.7 KiB
2024-02-26
5829 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-26
2nd row2024-02-26
3rd row2024-02-26
4th row2024-02-26
5th row2024-02-26

Common Values

ValueCountFrequency (%)
2024-02-26 5829
100.0%

Length

2024-03-15T06:12:19.398192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:12:19.702580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-26 5829
100.0%

Interactions

2024-03-15T06:11:57.479070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:12:19.882402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분광고물종류표시법정동
연번1.0000.7660.3590.458
구분0.7661.0000.5510.256
광고물종류0.3590.5511.0000.554
표시법정동0.4580.2560.5541.000
2024-03-15T06:12:20.132867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분광고물종류
구분1.0000.424
광고물종류0.4241.000
2024-03-15T06:12:20.370299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분광고물종류
연번1.0000.6030.117
구분0.6031.0000.424
광고물종류0.1170.4241.000

Missing values

2024-03-15T06:11:57.871699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:11:58.486609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번구분인허가번호허가신고일광고물종류업소명표시시작일자표시종료일자표시장소(지번)표시장소(도로명)표시법정동데이터기준일자
01허가2024-4651009-09-1-000102024-02-21돌출간판에듀플렉스 에듀코치개별지도 서신학원2024-02-212027-02-20전북특별자치도 전주시 완산구 서신동 964-5전북특별자치도 전주시 완산구 서신로 106 3층 (서신동)서신동2024-02-26
12신고2024-4651009-09-2-000212024-02-21벽면이용간판(가로형)에듀플렉스 에듀코치개별지도 서신학원2024-02-212027-02-20전북특별자치도 전주시 완산구 서신동 964-5전북특별자치도 전주시 완산구 서신로 106 3층 (서신동)서신동2024-02-26
23허가2012-4650077-09-1-000412012-02-10돌출간판e-행복한치과2024-03-092027-03-08전북특별자치도 전주시 완산구 효자동1가 281-3전북특별자치도 전주시 완산구 용머리로 72 (효자동1가)효자동1가2024-02-26
34허가2017-4650060-09-1-002122017-12-18돌출간판강변영수학원2023-12-182026-12-17전북특별자치도 전주시 완산구 효자동1가 669-1 신전주새마을금고전북특별자치도 전주시 완산구 용리로 39 신전주새마을금고 (효자동1가)효자동1가2024-02-26
45허가1997-4660010-09-1-100512009-03-20돌출간판대륙다방2024-03-192027-03-18전북특별자치도 전주시 완산구 서노송동 635-3전북특별자치도 전주시 완산구 팔달로 236 (서노송동)서노송동2024-02-26
56허가2017-4650060-09-1-001942017-12-04돌출간판최동만세무회계사무소2023-12-042026-12-03전북특별자치도 전주시 완산구 효자동3가 1419-1전북특별자치도 전주시 완산구 서곡로 92 (효자동3가)효자동3가2024-02-26
67허가2015-4660074-09-1-000482015-03-03돌출간판조촌새마을금고2024-03-032027-03-02전북특별자치도 전주시 덕진구 반월동 388-5전북특별자치도 전주시 덕진구 반월5길 4 (반월동)반월동2024-02-26
78허가2012-4660069-09-1-000902012-03-29벽면이용간판(가로형)한강수퍼2024-03-292027-03-28전북특별자치도 전주시 덕진구 반월동 386-7전북특별자치도 전주시 덕진구 쪽구름로 127 (반월동)반월동2024-02-26
89허가2024-4661009-09-1-000062024-02-22돌출간판(유)탑이앤씨2024-02-222027-02-21전북특별자치도 전주시 덕진구 인후동1가 927-9전북특별자치도 전주시 덕진구 아중로 140 (인후동1가)인후동1가2024-02-26
910허가2024-4661009-09-1-000052024-02-22돌출간판면식당 전북대점2024-02-222027-02-21전북특별자치도 전주시 덕진구 덕진동1가 1314-165전북특별자치도 전주시 덕진구 명륜4길 21-3 (덕진동1가)덕진동1가2024-02-26
연번구분인허가번호허가신고일광고물종류업소명표시시작일자표시종료일자표시장소(지번)표시장소(도로명)표시법정동데이터기준일자
58195820신고2010-4660069-09-2-004382010-09-10벽면이용간판(가로형)밀레2010-09-109999-12-31전북특별자치도 전주시 덕진구 송천동2가 602-1전북특별자치도 전주시 덕진구 시천로 106 (송천동2가)송천동2가2024-02-26
58205821신고2007-4660067-09-2-009632007-04-04벽면이용간판(가로형)은성엔지니어링2010-04-049999-12-31전북특별자치도 전주시 덕진구 덕진동1가 1430-25전북특별자치도 전주시 덕진구 들사평1길 27 (덕진동1가)덕진동1가2024-02-26
58215822신고2010-4660069-09-2-001862010-04-20벽면이용간판(가로형)잔디로골프송천점2010-04-209999-12-31전북특별자치도 전주시 덕진구 송천동2가 602-1전북특별자치도 전주시 덕진구 시천로 106 (송천동2가)송천동2가2024-02-26
58225823신고2010-4660069-09-2-000952010-02-25벽면이용간판(가로형)블랙야크전주점2010-02-259999-12-31전북특별자치도 전주시 덕진구 송천동2가 602-1전북특별자치도 전주시 덕진구 시천로 106 (송천동2가)송천동2가2024-02-26
58235824신고2009-4650077-09-2-004542009-06-25벽면이용간판(가로형)치킨신드롬2009-06-259999-12-31전북특별자치도 전주시 완산구 평화동2가 866-12전북특별자치도 전주시 완산구 평화11길 9 (평화동2가)평화동2가2024-02-26
58245825신고2008-4660067-09-2-019702008-05-28벽면이용간판(가로형)주)세종텔레콤(전주센터)2008-05-289999-12-31전북특별자치도 전주시 덕진구 여의동2가 566-22전북특별자치도 전주시 덕진구 쪽구름로 26 (여의동2가)여의동2가2024-02-26
58255826신고2005-4660057-09-2-013822005-12-15벽면이용간판(가로형)홍익부동산2008-12-159999-12-31전북특별자치도 전주시 덕진구 금암동 1600-24전북특별자치도 전주시 덕진구 견훤왕궁로 283 (금암동)금암동2024-02-26
58265827신고2007-4660067-09-2-038892007-12-18돌출간판한성희헤어가이드2007-12-189999-12-31전북특별자치도 전주시 덕진구 인후동1가 877-3전북특별자치도 전주시 덕진구 무삼지로 51 (인후동1가)인후동1가2024-02-26
58275828신고1997-4650010-09-1-017322006-10-12돌출간판효문화원2006-10-163009-10-15전북특별자치도 전주시 완산구 효자동1가 579전북특별자치도 전주시 완산구 거마평로 124 (효자동1가)효자동1가2024-02-26
58285829허가2000-4650010-09-2-054232002-06-14돌출간판혜성분식2002-06-242205-06-23전북특별자치도 전주시 완산구 서신동 816-13전북특별자치도 전주시 완산구 서신천변10길 3 (서신동)서신동2024-02-26